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2023 Fiscal Year Research-status Report

Development of online algae counting technique for avoiding musty odor in drinking water

Research Project

Project/Area Number 22K14352
Research InstitutionNagasaki University

Principal Investigator

ブアバー サンドリンルーシーパスカル  長崎大学, 工学研究科, 特任研究員 (80896704)

Project Period (FY) 2022-04-01 – 2025-03-31
Keywordsdrinking water / algae / odor / monitoring
Outline of Annual Research Achievements

The properties of various algae in a surface water (Biwa Lake) was assessed using an automated fluorescence microscope. As a result, the concentrations of Pseudanabaena sp. were auto-counted and the accuracy of the analysis was acceptable. However, due to low frequency of the odor-producing algae occurrence, the chances of the auto-counting technique validation did not happen frequently. It was found that the frequency of odor-causing algae occurrence plays an important role in the method validation. In addition to Pseudanabaena sp., the criteria for automatically counting other algae causing problems for the drinking water treatment plant has also been established. Further, lenses to capture clear image for improving the accuracy of the auto-counting method were assessed and the best lens has been identified and incorporated in the system.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

The criteria (dimensions, shape, fluorescence intensity) for automatically identifying odor-producing algae other than Pseudanabaena sp. has been assessed and determined. To capture clear image for accurately counting the target algae, a new lens has been selected and incorporated into the auto-counting system.

Strategy for Future Research Activity

To judge the practicality of the developed online monitoring system, it is necessary to establish the accuracy of the automatically counted concentrations and the system stability for long-term operation. Therefore, on-site monitoring test will be conducted for the period of potential odor occurrence.

  • Research Products

    (1 results)

All 2023

All Journal Article (1 results) (of which Peer Reviewed: 1 results)

  • [Journal Article] The rapid counting method for 2-MIB-producing cyanobacteria (Pseudanabaena sp.) using fluorescence detection of phycocyanin pigments in algal cells2023

    • Author(s)
      Boivin Sandrine、Hasegawa Eri、Yamaguchi Dabide、Fujioka Takahiro
    • Journal Title

      Environmental Science: Water Research & Technology

      Volume: 9 Pages: 2561~2568

    • DOI

      10.1039/D3EW00282A

    • Peer Reviewed

URL: 

Published: 2024-12-25  

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